Poverty Probability Index (PPI) lookup table for Romania
ppiROU2009
A data frame with 9 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
extremeUSAID extreme poverty
ppp250Below $2.50 per day purchasing power parity (2005)
ppp375Below $3.75 per day purchasing power parity (2005)
ppp500Below $5.00 per day purchasing power parity (2005)
laekenLaeken poverty line
# Access Romania PPI table ppiROU2009#> score nl100 nl150 nl200 extreme ppp250 ppp375 ppp500 laeken #> 0 0 77.9 100.0 100.0 77.9 77.9 100.0 100.0 100.0 #> 1 1 77.9 100.0 100.0 77.9 77.9 100.0 100.0 100.0 #> 2 2 77.9 100.0 100.0 77.9 77.9 100.0 100.0 100.0 #> 3 3 77.9 100.0 100.0 77.9 77.9 100.0 100.0 100.0 #> 4 4 77.9 100.0 100.0 77.9 77.9 100.0 100.0 100.0 #> 5 5 68.1 100.0 100.0 57.3 55.6 92.5 100.0 87.6 #> 6 6 68.1 100.0 100.0 57.3 55.6 92.5 100.0 87.6 #> 7 7 68.1 100.0 100.0 57.3 55.6 92.5 100.0 87.6 #> 8 8 68.1 100.0 100.0 57.3 55.6 92.5 100.0 87.6 #> 9 9 68.1 100.0 100.0 57.3 55.6 92.5 100.0 87.6 #> 10 10 50.2 82.8 97.1 45.3 45.3 72.9 93.0 78.5 #> 11 11 50.2 82.8 97.1 45.3 45.3 72.9 93.0 78.5 #> 12 12 50.2 82.8 97.1 45.3 45.3 72.9 93.0 78.5 #> 13 13 50.2 82.8 97.1 45.3 45.3 72.9 93.0 78.5 #> 14 14 50.2 82.8 97.1 45.3 45.3 72.9 93.0 78.5 #> 15 15 46.7 85.3 96.2 35.2 34.9 74.3 92.3 79.9 #> 16 16 46.7 85.3 96.2 35.2 34.9 74.3 92.3 79.9 #> 17 17 46.7 85.3 96.2 35.2 34.9 74.3 92.3 79.9 #> 18 18 46.7 85.3 96.2 35.2 34.9 74.3 92.3 79.9 #> 19 19 46.7 85.3 96.2 35.2 34.9 74.3 92.3 79.9 #> 20 20 32.1 77.4 95.6 18.1 16.0 59.6 89.4 62.6 #> 21 21 32.1 77.4 95.6 18.1 16.0 59.6 89.4 62.6 #> 22 22 32.1 77.4 95.6 18.1 16.0 59.6 89.4 62.6 #> 23 23 32.1 77.4 95.6 18.1 16.0 59.6 89.4 62.6 #> 24 24 32.1 77.4 95.6 18.1 16.0 59.6 89.4 62.6 #> 25 25 25.1 69.3 91.5 10.3 10.1 45.1 76.7 56.6 #> 26 26 25.1 69.3 91.5 10.3 10.1 45.1 76.7 56.6 #> 27 27 25.1 69.3 91.5 10.3 10.1 45.1 76.7 56.6 #> 28 28 25.1 69.3 91.5 10.3 10.1 45.1 76.7 56.6 #> 29 29 25.1 69.3 91.5 10.3 10.1 45.1 76.7 56.6 #> 30 30 14.6 55.6 85.1 4.7 4.3 28.8 56.9 49.1 #> 31 31 14.6 55.6 85.1 4.7 4.3 28.8 56.9 49.1 #> 32 32 14.6 55.6 85.1 4.7 4.3 28.8 56.9 49.1 #> 33 33 14.6 55.6 85.1 4.7 4.3 28.8 56.9 49.1 #> 34 34 14.6 55.6 85.1 4.7 4.3 28.8 56.9 49.1 #> 35 35 8.8 43.5 77.7 1.9 1.6 16.9 45.6 33.1 #> 36 36 8.8 43.5 77.7 1.9 1.6 16.9 45.6 33.1 #> 37 37 8.8 43.5 77.7 1.9 1.6 16.9 45.6 33.1 #> 38 38 8.8 43.5 77.7 1.9 1.6 16.9 45.6 33.1 #> 39 39 8.8 43.5 77.7 1.9 1.6 16.9 45.6 33.1 #> 40 40 4.2 31.0 68.0 0.7 0.7 9.4 33.1 29.3 #> 41 41 4.2 31.0 68.0 0.7 0.7 9.4 33.1 29.3 #> 42 42 4.2 31.0 68.0 0.7 0.7 9.4 33.1 29.3 #> 43 43 4.2 31.0 68.0 0.7 0.7 9.4 33.1 29.3 #> 44 44 4.2 31.0 68.0 0.7 0.7 9.4 33.1 29.3 #> 45 45 2.5 17.8 53.9 0.4 0.4 5.5 20.4 14.3 #> 46 46 2.5 17.8 53.9 0.4 0.4 5.5 20.4 14.3 #> 47 47 2.5 17.8 53.9 0.4 0.4 5.5 20.4 14.3 #> 48 48 2.5 17.8 53.9 0.4 0.4 5.5 20.4 14.3 #> 49 49 2.5 17.8 53.9 0.4 0.4 5.5 20.4 14.3 #> 50 50 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10.0 #> 51 51 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10.0 #> 52 52 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10.0 #> 53 53 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10.0 #> 54 54 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10.0 #> 55 55 0.1 6.3 30.3 0.0 0.0 0.7 6.7 5.9 #> 56 56 0.1 6.3 30.3 0.0 0.0 0.7 6.7 5.9 #> 57 57 0.1 6.3 30.3 0.0 0.0 0.7 6.7 5.9 #> 58 58 0.1 6.3 30.3 0.0 0.0 0.7 6.7 5.9 #> 59 59 0.1 6.3 30.3 0.0 0.0 0.7 6.7 5.9 #> 60 60 0.1 3.2 21.4 0.1 0.1 0.1 4.6 4.9 #> 61 61 0.1 3.2 21.4 0.1 0.1 0.1 4.6 4.9 #> 62 62 0.1 3.2 21.4 0.1 0.1 0.1 4.6 4.9 #> 63 63 0.1 3.2 21.4 0.1 0.1 0.1 4.6 4.9 #> 64 64 0.1 3.2 21.4 0.1 0.1 0.1 4.6 4.9 #> 65 65 0.0 0.7 10.6 0.0 0.0 0.0 1.1 2.2 #> 66 66 0.0 0.7 10.6 0.0 0.0 0.0 1.1 2.2 #> 67 67 0.0 0.7 10.6 0.0 0.0 0.0 1.1 2.2 #> 68 68 0.0 0.7 10.6 0.0 0.0 0.0 1.1 2.2 #> 69 69 0.0 0.7 10.6 0.0 0.0 0.0 1.1 2.2 #> 70 70 0.0 0.8 5.6 0.0 0.0 0.6 0.8 3.2 #> 71 71 0.0 0.8 5.6 0.0 0.0 0.6 0.8 3.2 #> 72 72 0.0 0.8 5.6 0.0 0.0 0.6 0.8 3.2 #> 73 73 0.0 0.8 5.6 0.0 0.0 0.6 0.8 3.2 #> 74 74 0.0 0.8 5.6 0.0 0.0 0.6 0.8 3.2 #> 75 75 0.0 0.0 2.4 0.0 0.0 0.0 0.0 0.3 #> 76 76 0.0 0.0 2.4 0.0 0.0 0.0 0.0 0.3 #> 77 77 0.0 0.0 2.4 0.0 0.0 0.0 0.0 0.3 #> 78 78 0.0 0.0 2.4 0.0 0.0 0.0 0.0 0.3 #> 79 79 0.0 0.0 2.4 0.0 0.0 0.0 0.0 0.3 #> 80 80 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 81 81 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 82 82 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 83 83 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 84 84 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 85 85 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 86 86 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 87 87 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 88 88 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 89 89 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 90 90 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 91 91 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 92 92 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 93 93 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 94 94 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 95 95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 96 96 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 97 97 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 98 98 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 99 99 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 100 100 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiROU2009[ppiROU2009$score == ppiScore, ]#> score nl100 nl150 nl200 extreme ppp250 ppp375 ppp500 laeken #> 50 50 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiROU2009, score == ppiScore)#> score nl100 nl150 nl200 extreme ppp250 ppp375 ppp500 laeken #> 50 50 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the national # poverty line definition ppiScore <- 50 ppiROU2009[ppiROU2009$score == ppiScore, "nl100"]#> [1] 0.8